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Image Science Lab
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A lab that studies image, video, and signal processing as well as medical imaging.
AboutAbout the lab
Research on images, video, signals, and medical imaging
The Image Science Lab studies image, video, and multimedia signal processing, as well as medical imaging.
By drawing on new technologies such as imaging science, compressed sensing, and machine learning, together with its knowledge of established techniques built up over the years, the lab aims to contribute to the advancement of image processing.
In medical imaging, the lab works on techniques for producing images of structures inside the human body from data measured by devices such as CT and PET, and on image analysis that supports diagnosis.
Key terms
- Intelligent image sensing
- Technology for obtaining information beyond the image itself from an image sensor. This is the name the lab uses for it.
- Super-resolution
- Technology for creating a high-resolution image from a low-resolution image
- CAD (computer-aided diagnosis)
- Technology that analyzes medical images and processes them to make them easier to interpret for diagnosis, used to reduce the burden on physicians and to prevent lesions from being overlooked
NewsLab news
Lab information session held on demand
A student received an Encouragement Award at the 43rd Annual Meeting of the Japan Society of Medical Imaging Technology (JAMIT 2024)
A paper by a doctoral student was published in PLOS ONE
ResearchResearch themes
The lab conducts research on image processing, medical image processing, and multimedia signal processing. By drawing on new technologies such as imaging science, compressed sensing, and machine learning, together with its knowledge of established techniques built up over the years, the lab aims to contribute to the advancement of image processing.
*Illustrative imageIntelligent image sensing: obtaining information from images
The lab calls the technology for obtaining information beyond the image itself from the image sensors of cameras and video devices "intelligent image sensing." It studies super-resolution, all-in-focus image synthesis, computer vision for estimating the shape and distance of subjects, automatic correction of blur, and more.
*Illustrative imageMedical imaging and diagnostic support
Medical image processing broadly divides into medical imaging, which produces images of structures inside the human body from data measured by devices such as CT and PET, and CAD (computer-aided diagnosis). CAD processes medical images to make them easier to interpret for diagnosis, and is used to reduce the burden on physicians and to prevent lesions from being overlooked.
*Illustrative imageMultimedia signal processing
Signal processing is the technology of acquiring, processing, and analyzing signals. The resulting digital signals are applied to data compression, information embedding, information separation, and more. The lab studies methods such as fast transforms and integer transforms.
MembersFaculty
The members of the Image Science Lab consist of faculty, researchers, and students in the doctoral program, the master's program, and the undergraduate college.As of 2024
- ProfessorHiroyuki Kudo
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Craig Joint Theater Hospital receives exclusive new CT scanner 150724-F-QU482-016” Senior Airman Cierra Presentado / Public domain (cropped)
- Intelligent image sensing: obtaining information from images: “Stereo camera” Timothée Cognard / CC BY-SA 3.0 (cropped)
- Medical imaging and diagnostic support: “CT Brain Scan” Goleisureintl / CC BY 4.0 (cropped)
- Multimedia signal processing: “Digital Signal Processor 9997” Ashley Pomeroy / CC BY 3.0 (cropped)
- Related lab (Phygital Media Lab): “Zero Latency Virtual Reality Experience” Almostnow / CC BY-SA 4.0 (cropped)
- Related lab (Hybrid Social Interaction Lab): “Mindpark Helsingborg bottenvåning Open Space” Karstendc / CC BY-SA 4.0 (cropped)
- Related lab (Chaos Lab): “Hyperkomplexe Mandelbrot-Menge HQ 20190908” PantheraLeo1359531 / CC BY-SA 4.0 (cropped)
- Related lab (Human and Sound Informatics Lab): “Tom-at-Desk” Tom Harpel from Seattle, Washington, United States / CC BY 2.0 (cropped)
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